Energy Efficient Intrusion Detection System based on Optimized Watchdog System and Hidden Markov Model for Wireless Sensor Networks

Wireless Sensor Network (WSN) is one of the most propitious technologies with many applications ranging from health care to tactical military applications. Although Wireless Sensor Networks have many attractive features like low cost, low complexity and low power consumption WSNs are vulnerable to Distributed Denial-ofService (DDoS) attacks due to its broadcast nature of communication and limited power supply. Hence security and energy efficiency are the two important challenging tasks in WSN. In this paper, Energy Efficient Intrusion Detection System (EE-IDS) has been proposed for IEEE802.15.4 based WSN to detect and mitigate the Distributed Denial of Service (DDoS) attack (resource depletion, power exhaustion attacks and flooding). The design of EE-IDS includes optimized watchdog system and Hidden Markov Model (HMM). The proposed EE-IDS and existing Energy Efficient Trust System (EE-TS) are simulated and compared by using Ns2 simulator. The simulation results depict that EEIDS has better performance in terms of Packet Delivery Ratio (PDR), average end-to-end delay, packet drop and energy consumption of network than that of EE-TS.